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#! /bin/sh

     ###################################### 
     ##### Model Transformation Tools #####
     ######################################

###############################################################
## Version control history
###############################################################
## $Id$
## $Log$



## Revision 1.11  1998/08/25 12:28:31  peterg
## Move initila switch to after initial input
##
## Revision 1.10  1998/08/25 12:22:45  peterg
## Put _switch after update and also at initilisation
##
## Revision 1.9  1998/08/15 13:46:59  peterg











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#! /bin/sh

     ###################################### 
     ##### Model Transformation Tools #####
     ######################################

###############################################################
## Version control history
###############################################################
## $Id$
## $Log$
## Revision 1.12  1998/08/27 08:55:18  peterg
## Mods to integration methods
##
## Revision 1.11  1998/08/25 12:28:31  peterg
## Move initila switch to after initial input
##
## Revision 1.10  1998/08/25 12:22:45  peterg
## Put _switch after update and also at initilisation
##
## Revision 1.9  1998/08/15 13:46:59  peterg
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$1_numpar;			# Read in parameters
MTTilast = round(mttlast/mttdt); # Total number of steps

#Initialise
MTTt = 0.0;
[MTTx] = $1_state;	        # Read in initial state
[MTTu] = $1_input(MTTx,MTTt);	# Evaluate initial input
[MTTx] = $1_switch(MTTx);       # Switches
[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Evaluate initial output
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # And write them

[mttAA]  = zero_matrix($Nx);	# Zero the A matrix
[mttAAx] = zero_vector($Nx);	# Zero the AAx vector



  if mttmethod==1		# Euler
    MTTddt = mttdt/mttstepfactor; # The small sample interval
  endif;

#Integration loop
for MTTit = 1:MTTilast
  [MTTu] = $1_input(MTTx,MTTt);	# Input

  if mttmethod==1		# Euler
    for MTTjt = 1:mttstepfactor
      [MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
      [MTTx] = mtt_euler(MTTx,MTTdx,MTTddt,$Nx); # Euler update
      MTTt = MTTt + MTTddt;
    endfor;
  endif;
  if mttmethod==2		# Implicit 
    [MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
    [mttAA,mttAAx] = $1_smx(MTTx,MTTu,mttdt);	# (I-Adt) and (I-Adt)x

    [MTTx] = mtt_implicit(MTTx,MTTdx,mttAA,mttAAx,mttdt,$Nx); # Implicit update
    MTTt = MTTt + mttdt;
  endif;

  [MTTx] = $1_switch(MTTx);	# Switches

  [MTTy] = $1_odeo(MTTx,MTTu,MTTt);







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$1_numpar;			# Read in parameters
MTTilast = round(mttlast/mttdt); # Total number of steps

#Initialise
MTTt = 0.0;
[MTTx] = $1_state;	        # Read in initial state
[MTTu] = $1_input(MTTx,MTTt);	# Evaluate initial input

[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Evaluate initial output
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # And write them

[mttAA]  = zero_matrix($Nx);	# Zero the A matrix
[mttAAx] = zero_vector($Nx);	# Zero the AAx vector

[MTTx] = $1_switch(MTTx);       # Switches

  if mttmethod==1		# Euler
    MTTddt = mttdt/mttstepfactor; # The small sample interval
  endif;

#Integration loop
for MTTit = 1:MTTilast
  [MTTu] = $1_input(MTTx,MTTt);	# Input

  if mttmethod==1		# Euler
    for MTTjt = 1:mttstepfactor
      [MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
      [MTTx] = mtt_euler(MTTx,MTTdx,MTTddt,$Nx); # Euler update
      MTTt = MTTt + MTTddt;
    endfor;
  endif;
  if mttmethod==2		# Implicit 
    [MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
    [mttAA,mttAAx] = $1_smx(MTTx,MTTu,mttdt);	# (I-Adt) and (I-Adt)x
    [mttAA] = $1_switchA(mttAA,MTTx);	# Switches
    [MTTx] = mtt_implicit(MTTx,MTTdx,mttAA,mttAAx,mttdt,$Nx); # Implicit update
    MTTt = MTTt + mttdt;
  endif;

  [MTTx] = $1_switch(MTTx);	# Switches

  [MTTy] = $1_odeo(MTTx,MTTu,MTTt);

MTT: Model Transformation Tools
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